metadata
license: apache-2.0
base_model: openai/whisper-medium
tags:
- generated_from_trainer
model-index:
- name: gyeongsan_1_6_model_2000
results: []
gyeongsan_1_6_model_2000
This model is a fine-tuned version of openai/whisper-medium on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1514
- Cer: 10.5865
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- training_steps: 20000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 0.2344 | 0.0450 | 2000 | 0.2203 | 12.7562 |
| 0.2228 | 0.0901 | 4000 | 0.2065 | 12.7230 |
| 0.1923 | 0.1351 | 6000 | 0.1928 | 11.7444 |
| 0.1624 | 0.1801 | 8000 | 0.1829 | 11.3387 |
| 0.1663 | 0.2252 | 10000 | 0.1767 | 11.3328 |
| 0.1766 | 0.2702 | 12000 | 0.1696 | 11.1766 |
| 0.1553 | 0.3152 | 14000 | 0.1633 | 10.9184 |
| 0.1359 | 0.3603 | 16000 | 0.1581 | 10.6428 |
| 0.1551 | 0.4053 | 18000 | 0.1537 | 10.6719 |
| 0.1373 | 0.4503 | 20000 | 0.1514 | 10.5865 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.2.2+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1